2014
DOI: 10.1007/978-3-319-13734-6_25
|View full text |Cite
|
Sign up to set email alerts
|

Is Twitter a Public Sphere for Online Conflicts? A Cross-Ideological and Cross-Hierarchical Look

Abstract: The rise in popularity of Twitter has led to a debate on its impact on public opinions. The optimists foresee an increase in online participation and democratization due to social media's personal and interactive nature. Cyber-pessimists, on the other hand, explain how social media can lead to selective exposure and can be used as a disguise for those in power to disseminate biased information. To investigate this debate empirically, we evaluate Twitter as a public sphere using four metrics: equality, diversit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
22
0
2

Year Published

2016
2016
2023
2023

Publication Types

Select...
4
2
1

Relationship

1
6

Authors

Journals

citations
Cited by 30 publications
(25 citation statements)
references
References 18 publications
0
22
0
2
Order By: Relevance
“…While some have envisioned increased democratization with users from different political ideologies engaging with each other (Semaan 1 3 et al 2014), others warned that use of social media platforms could encourage selective exposure by reinforcing users' existing biases (Liu and Weber 2014).…”
Section: Bias In Social Mediamentioning
confidence: 99%
See 2 more Smart Citations
“…While some have envisioned increased democratization with users from different political ideologies engaging with each other (Semaan 1 3 et al 2014), others warned that use of social media platforms could encourage selective exposure by reinforcing users' existing biases (Liu and Weber 2014).…”
Section: Bias In Social Mediamentioning
confidence: 99%
“…These results have been reinforced by studies showing that not only are social media users more willing to communicate with other like-minded users (Liu and Weber 2014;Smith et al 2013), they are also unable to engage in meaningful discussions with users with different beliefs than their own (Yardi and Boyd 2010). Therefore, political polarization on social media platforms has been an active area of research, with multiple different studies analyzing the behaviors of ideologically different groups of users.…”
Section: Bias In Social Mediamentioning
confidence: 99%
See 1 more Smart Citation
“…1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 There is a controversial debate between "optimistic" and "pessimistic" perspectives on the relation between the public sphere and Twitter that focuses on the democratizing role of social media and on participation and polarization. This "microblogging" platform must also be understood as a place of online conflict with considerable potential to influence offline conflicts (Liu and Weber, 2014); a very recent example is the Trump campaign and its various supporting groups during the last US presidential elections. In crisis contexts, online media, and social media networking sites like Twitter are popular tools for protestors to network and organise political activities; they play an important role in facilitating political mobilisation towards change (Meraz and Papacharissi, 2013), which indicates their political potential for spreading awareness and information on e.g.…”
Section: Social Media Platforms As Integral Parts Of Web Spheres: Thementioning
confidence: 99%
“…It is commonly understood that retweets indicate endorsement, and endorsement networks for controversial topics have been shown to have a bi-clustered structure [7,12], i.e., they consist of two well-separated clusters that correspond to the opposing points of view on the topic. Conversely, replies can indicate discussion, and several studies have reported that users tend to use replies to talk across the sides of a controversy [6,24]. These two types of network capture di erent dynamics of activity, and allow us to tease apart the processes that generate these interactions.…”
Section: Datasetmentioning
confidence: 99%